best environmental management practice in the...
TRANSCRIPT
Best practice 5.5 – Optimised large-scale or outsourced laundry operations
Best Environmental Management Practice in THE TOURISM SECTOR
Optimised large-scale or outsourced laundry operations
This best practice is an extract from the report Best Environmental
Management Practice in the Tourism Sector.
Find out about other best practices at www.takeagreenstep.eu/BEMP or download the full report at http://susproc.jrc.ec.europa.eu/activities/emas/documents/TourismBEMP.pdf
5.5
Best practice 5.5 – Optimised large-scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 2
5 5.5 Optimised large-scale or outsourced laundry operations
Description
Large-scale professional laundry operators can provide a more efficient alternative to on-site laundry
operations. Efficient large-scale and commercial laundry operations with a capacity of hundreds to
thousands of tonnes of laundry textiles per year typically achieve water use efficiencies of 5 to 6 litres
of water per kg of linen, compared with in excess of 20 litres per kg for non-optimised small-scale
laundry operations (Bobák et al., 2010; ITP, 2008). Specific water consumption as low as 2 litres per
kg has been demonstrated following process optimisation and water recycling (EC, 2007). It is
common for hotels and other tourism service providers, including restaurants, to outsource laundry
operations. This technique applies directly to all tourism service providers who control large-scale on-
site laundry operations (typically large hotels with over 500 rooms), and also to outsourced providers
of laundry operations. Tourism service providers can reduce their indirect environmental impact by
ensuring that their laundry providers implement best practice according to this technique.
Best practice for large hotels (over 500 rooms) and outsourced laundry providers is to operate
continuous batch washers (CBW) with counter-flow current, such as shown in Figure 5.23. Such
washers are efficient at laundry loads of over 250 kg per hour (Carbon Trust, 2009). Discrete batches
of 25 – 100 kg are introduced into one end of the machine and moved through a long 1 – 2 m diameter
drum 'tunnel' divided into water compartments with different quantities of water, and varying
temperatures and chemistry, by the motion of a water-permeable Archimedes screw. Such systems are
highly water efficient because clean water is only injected at the final neutralisation and rinse phases
of the cycle, and moves counter to the laundry movement, towards the wash and prewash phases,
where detergents are added, thus effectively recycling water through phases of progressively more
dirty laundry. In addition, water extracted from washed laundry during pressing and from the rinse
phase may be re-injected at the prewash and wash phases, and water from the wash phase may be
filtered and re-injected at the prewash phase, enabling water use efficiencies of better than 5 litres per
kg textiles.
Source: Girbau (2009).
Figure 5.23: An example of a 10 module continuous batch washer with counter-flow water current and
steam heating
The choice and dosing of laundry detergents has important implications for the quality of waste water
arising from laundry operations in terms of toxicity and eutrophication potential. There may be a
trade-off between waste water quality and process efficiency, as strong chemical action may reduce
the need for heating. In the US there is a move towards the use of ozone generators that inject ozone,
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 3
a powerful oxidising agent, directly into the rinse water as a highly effective disinfectant (US EPA,
1999). Benefits claimed for ozone injection include lower detergent dosing, lower temperature washes
and the avoidance of chemical additives for disinfection such as hydrogen peroxide (Cardis et al.,
2007). However, it is difficult to control ozone concentrations in order to guarantee disinfection and
realise these potential benefits (DTC LTC, 2011). Best practice is therefore to minimise chemical
dosing through process optimisation (e.g. water use minimisation and rinse water reuse), accurate
dosing, the avoidance of environmentally harmful chemicals such as hypochlorite and the selection of
more environmentally benign chemicals.
CBWs do not spin dry laundry as per washer-extractors. Following washing, drying is a two-stage
process based on:
mechanical dewatering – a quick process applied to all laundry exiting the CBW, usually using
a mechanical 'hydro-extraction' or 'membrane' press to remove most of the excess water, with
an energy demand in the region of 0.05 kWh per kg textiles;
thermal drying – a slower and energy-intensive process using heat to evaporate residual water,
with an energy demand of up to 1.4 kWh per kg textiles. Textiles are dried in tumble driers,
roller-ironers (flatwork), and finishers (garments).
Laundries are large consumers of energy, although this consumption represents a smaller fraction of a
typical guest 'footprint' compared with laundry water consumption (Figure 5.3 in section 5). In large
laundries, steam is often used as a convenient energy carrier to heat all major processes, from the
prewash phase of the CBW process, through drying, to ironing or finishing. Bobák et al. (2011)
compare an 'average' steam-heated laundry with poor energy management with an optimised steam-
heated laundry (Figure 5.24). Typically, steam is generated in gas boilers, and heat losses occur at this
stage, and during distribution via the walls of transfer pipes, and through leaks. This can offset some
of the efficiency advantages, such as use of efficient CBWs, of large-scale laundries.
In a large laundry, the first phase of thermal drying is performed by gas- or steam-heated tumble
driers, and can require approximately 0.4 kWh per kg textiles – a similar amount of energy to that
consumed in the CBW (Figure 5.24). The second phase of thermal drying is performed by roller
ironers for damp flatwork (e.g. bedclothes) or a tunnel finisher for damp garments. In finishing
tunnels, garments are first subjected to a steam spray to de-wrinkle them, a hot damp downward blast
of air to straighten them, and a hot dry blast of air to remove moisture.
Best practice 5.5 – Optimised large-scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 4
Table 5.23: Portfolio of best practice measures for large-scale laundry operations
Stage Measure Description
House-
keeping
Reduce volume of
laundry generated Encourage guests to reuse towels and bed linen
(section 5.3).
Minimise use of tablecloths and napkins in
restaurants.
Washing Optimisation of
continuous batch
washers
Match water input to batch washing requirements
and optimise water cycling through the process to
achieve correct water levels and liquor ratios.
Monitor and adjust machinery and dosing to
minimise textile wear (Hohenstein Institute, 2010).
Water recycling In addition to recovery of rinse and press water,
wash water may be recycled through a micro-filter
system to re-inject into the prewash.
Heat recovery Recover heat from steam used in the drying process
and waste water to heat incoming fresh water.
Green procurement
of detergent and
efficient dosing
Use laundry detergents compliant with Nordic Swan
criteria for laundry detergents for professional use
(Nordic Ecolabelling, 2009).
Match detergent dosing to recommendations and
laundry batch requirements.
Optimise with water level and temperature, and
mechanical washing effectiveness. Soften hard
water.
Drying Optimal use Maximise mechanical drying according to textile
type, fully load dryers, and control drying times to
terminate at equilibrium moisture content (~ 8 %).
Maintenance Ensure adequate dryer insulation, check for leaks,
moisture sensor operation, duct blockages, and clean
lint from filters every hour (or install automated lint
cleaner).
Finishing Ironer type Replace old ironers with efficient new ironers (e.g.
heating band design) of appropriate width for
bedclothes, and ensure adequate insulation and
maintenance to avoid steam leaks.
Optimal loading Install semi-automatic loader, adjust roller timing to
achieve final textile moisture content in equilibrium
with atmospheric conditions after single pass.
Minimise energy use
in tunnel finishers Minimise heating time for textiles to reach
maximum drying temperature, and decrease
temperatures in subsequent zones to maintain this
temperature. Recirculate hot air and ensure adequate
insulation of tunnel. Aim for final textile moisture
content in equilibrium with atmospheric conditions.
Minimise chemical
use for finishing Avoid, or if not possible, minimise, the use of water-
and dirt-repellent chemicals.
Entire
process
Optimisation
through water and
heat recovery, and
maintenance
Optimise the entire laundry process. Recover heat
from flue-gas to heat steam feeder water, recover
heat from dryer/ironer steam and waste water to heat
CBW inflow. Ensure entire distribution network is
insulated, inspected and maintained to prevent leaks
(install automatic leak detection system).
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 5
Achieved environmental benefit Table 5.24 summarises energy and water savings that can be achieved in washing drying processes.
Ensuring correct water levels in each CBW compartment alone can reduce water consumption by
30 % (Carbon Trust, 2009). Optimisation of an older CBW can reduce water consumption by 50 %
and energy consumption by 70 % according to P&G (2011). Bobák et al. (2011) estimate that
optimisation of a steam laundry system can reduce total energy use by 60 %, or 1.45 kWh per kg
textiles (Figure 5.24), after implementation of various water reuse and heat recovery steps.
Table 5.24: Energy and water savings achievable from various measures to improve laundry efficiency
Measure Saving
Replace washer-extractors with a CBW 50 % reduction in energy and water consumption
(Carbon Trust, 2009)
Fine-tune CBW 30 % reduction in water consumption (Carbon Trust,
2009)
Reduce wash temperature from 80 ºC to
60 ºC 25 % reduction in CBW energy consumption
Reuse of dewatering press and rinse water
in prewash compartment 2 – 3 L per kg textile (EC, 2007)
Waste water heat recovery 5 – 10 % heating energy (Carbon Trust, 2009)
Microfiltration and reuse of process wash
water
Up to 75 % reduction in water consumption and
25 % reduction in energy (Wientjens B.V., 2010). 2
L per kg textiles (EC, 2007).
Use of low pressure steam from
condensate to heat rinse water
10 % reduction in total energy consumption (Carbon
Trust, 2009)
Maximise mechanical dewatering 5 % reduction in total energy consumption(*)
Recycle tumble-dryer heat with heat
exchanger
Up to 35 % reduction in drying energy (Jensen,
2011)
Optimise drying 0.23 kWh per kg textiles, 9 % total energy use
(Bobák et al., 2011)
Optimise ironing 0.31 kWh per kg textiles, 13 % total energy use
(Bobák et al., 2011)
Optimise entire system 60 % reduction in energy consumption (Bobák et al.,
2011)
(*)Achieve 50 % instead of 58 % residual moisture content.
Microfiltration of CBW process water and reinjection into the prewash phase can reduce net specific
water consumption by 2 L per kg textiles (EC, 2007). Maximum water savings of 75 % and maximum
energy savings of 25 % are claimed for CBW water recycling systems incorporating microfiltration
(Wientjens B.V., 2010).
Best practice 5.5 – Optimised large-scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 6
Source: Based on data in Bobák et al. (2011).
Figure 5.24: Energy use for an average and an optimised continuous batch washer system based on use
of steam generated by natural gas
Appropriate selection and dosing of detergent and conditioning chemicals reduces COD loading to the
sewer (and, depending on the final waste water treatment effectiveness, to the environment), and
reduces water toxicity. In particular, avoidance of hypochlorite avoids emissions of toxic and bio-
accumulating absorbable organic halide (AOX) compounds.
Appropriate environmental indicator
Benchmarks of excellence
Nordic Ecolabelling (2010) present criteria for awarding points to textile service providers, according
to environmental performance for the laundering of different textile categories. To date, 31 laundry
sites in Norway, 16 in Sweden, and one in Finland have been awarded the Nordic Swan ecolabel.
Accordingly, the following overarching benchmark of excellence is proposed.
BM: all laundry is outsourced to a provider who has been awarded an ISO type-1 ecolabel
(e.g. Nordic Ecolabelling, 2010), and all in-house large-scale laundry operations, or
laundry operations outsourced to service providers not certified with an ISO Type-1
ecolabel, shall comply with the specific benchmarks for large-scale laundries
described in this document.
Water
Nordic Ecolabelling energy and water efficiency criteria for the award of maximum points for the
textile categories 'hotels' and 'restaurants' are proposed as the basis of benchmarks of excellence.
These benchmarks correspond with state-of-the-art performance identified by the Hohenstein Institute
(2010) from data relating to over 1.7 million washes in commercial laundries.
0.0
0.5
1.0
1.5
2.0
2.5
AVERAGE OPTIMISED
En
erg
y c
on
su
mp
tio
n (
kw
h /
kg
te
xtile
s)
.
Finishing
Ironing
Drying
CBW
Losses
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 7
The appropriate environmental indicator for laundry water efficiency is litres of water per kg laundry
and the proposed benchmark of excellence for large hotels, and outsourced laundry providers for
accommodation and restaurants, is:
BM: total water consumption over the complete wash cycle ≤5 L per kg textile for
accommodation laundry and ≤9 L per kg textile for restaurant laundry.
Energy
The appropriate environmental indicator for laundry energy efficiency is kWh per kg dried, finished
laundry, and the proposed benchmark of excellence for large hotels and outsourced laundry providers
is:
BM: total process energy consumption for dried and finished laundry products ≤0.90 kWh
per kg textile for accommodation laundry and ≤1.45 kWh per kg textile for
restaurant laundry.
Chemicals
Proposed benchmarks of excellence for chemical use are:
BM: exclusive use of laundry detergents compliant with Nordic Swan ecolabel criteria for
professional use (Nordic Ecolabelling, 2009), applied in appropriate doses.
BM: waste water is treated in a biological waste water treatment plant having a feed-to-
microorganism ratio of <0.15 kg BOD5 per kg dry matter per day.
Cross-media effects Optimised CBW processes enables highly efficient use of water, energy and washing detergents, with
no major cross-media effects.
Where accommodation or food and drink providers outsource laundry, the improved efficiency of
laundry operations in terms of water, energy, and chemical consumption achievable in an optimised
large-scale laundry outweigh the energy consumption and air emissions associated with laundry
transport. Transporting 500 kg of laundry a total distance of 30 km (return trip) in a small commercial
van would consume approximately 0.042 kWh of diesel per kg laundry1, compared with possible
energy savings in the region of 0.5 – 1.0 kWh per kg laundry arising from processing in an optimised
large-scale laundry.
The energy requirements for microfiltration of process water, at approximately 0.75 kWh energy per
m3 recycled (Wientjens B.V., 2010), are small compared with heat recovered in recycled water (1.16
kWh per m3 per degree centigrade of heat recovered).
1 Assuming diesel consumption of 7 L/100 km
Best practice 5.5 – Optimised large-scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 8
Operational data Transport
Transport of outsourced laundry should be optimised by the laundry service providers based on the
distribution of clients, timing of collection and deliveries in relation to traffic, backhauling
(combining delivery and collection), and the size, efficiency and EURO rating of delivery vehicles.
CBW design
Table 5.25 presents some important features of CBW systems that contribute towards optimum wash
performance. Newer designs of CBW have rotating perforated drums with smooth walls in place of
the original basic Archimedes screw design, resulting in improved mechanical wash action and
reduced abrasion and blockages. New designs enable full rotation and free-fall of laundry, maximising
laundry flow-through and compression whilst minimising abrasive rubbing (EC, 2007).
Table 5.25: Features of CBW systems to optimise performance across the four main factors affecting
wash effectiveness
Mechanical action Chemical action Temperature Time
Straight drum walls
Large drum diameter
Programmable g-
force factor
Weight dependent
doings
Water level and rinse
water
No drum core
60mm foamed drum
insulation
Temperature control
for disinfection
Waste water heat
exchange
Quick drain
Quick heating
Optimised cycle time
Source: Derived from EC (2007).
Batch organisation and loading
Loading rates of CBWs are strongly and inversely related to the specific efficiency, even though some
new machines adjust programme water consumption and chemical dosing according to load weight.
Where loads are deposited into the CBW via a monorail system, classification bags in the sorting area
may be attached via weighing devices that automatically send the bag forward once the correct load
weight is achieved. The accuracy of this process should be checked by operatives, facilitated by
clearly marking the correct load position on the weighing scales (Carbon Trust, 2009).
For hotel laundries with CBW machines, it is important to sort batches according to textile type and
degree of soiling (see Table 5.19 and Table 5.20 in section 5.4). For commercial laundries, it can be
more efficient to spread laundry from different customers across batches to maximise CBW loading
rates, and separate afterwards. Some commercial laundries rent textiles to clients, such as hotels and
hostels, in which case laundry may not need to be separated by the customer.
Water and energy optimisation in CBW
Water and energy use efficiency in the CBW are strongly related, and optimisation is bound within
laundry washing effectiveness and hygiene parameters. As a general rule for CBW, the conductivity
difference between clean water and final rinse water at the end of the rinsing zone should be less than
0.3 mS/cm (above 0.5 mS represents a potential threat to human health) (Proctor and Gamble, 2011).
Full drainage of wash water before laundry is transferred to the rinse compartment reduces soiling of
rinse water, and thus the quantity of water required in rinse compartments. There are numerous
opportunities for water recycling to optimise water use efficiency in a CBW, as indicated in Figure
5.25. Final rinse water extracted by mechanical pressing can be reused directly for the prewash, along
with water reclaimed from the start of the rinse phase, to save a total of 2 – 3 litres per kg textile (EC,
2007).
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 9
Source: EC (2007).
Figure 5.25: Optimised water reuse and heat recovery for a 14-compartament CBW
In addition, microfiltration of used wash water through ceramic filters or similar (Figure 5.26) can
enable up to 75 % of effluent water and 25 % of energy (in warm water) to be reused (Wientjens B.V.,
2010). As an example, the AquaMiser system is compact, weighing 175 kg and fitting within 2m2, has
a max output capacity of 6m3/hr filtrate, operating at 4.5 kW using 500 litres (N) compressed air per
hour at 6 – 8 bars pressure, and has a backwash filter control to minimise maintenance requirements
(Wientjens B.V., 2010). The achievable water recycling rate is lower for optimised CBW systems
already operating with efficient water cycling. Water use as low as 2 L / kg textiles is reported (EC,
2007).
0.75
micron
filter
0.25
micron
filter
BackwashSEWER
PU
MP
PU
MP
Figure 5.26: Water recycling using micro-filtration
Using heat recovery to heat incoming freshwater at the final rinse phase has the advantage of
increasing the final temperature of the textiles and thus reducing drying energy requirements.
Pump synchronised
with rinse flow
Wastewater to
drain
Freshwater
Heat exchanger
Press
Freshwater to
rinse
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 10
However, rinse water that is recycled to the prewash compartment should not be above 40 ºC
otherwise it could fix stains such as blood into textiles. There is some scope to reduce wash
temperatures for hospitality laundry that is typically lightly soiled (see Table 5.20 in section 5.4).
Laundry disinfection requirements vary across EU Member States. In the UK, high temperature
disinfection is not required (but is recommended) for hospitality laundry (Carbon Trust, 2009).
Certification standards based on hygiene testing, such as the German RAL-GZ 992/1 standard, may
be used to verify hygiene performance.
CBW optimisation should be performed by qualified laundry technicians or consultants. Once
programmes have been pre-set, they should not be changed by laundry operatives, and it is imperative
that operatives use the correct preset programmes – this should be clearly guided by charts visible at
the point of use.
Chemical use
Following dirt removal, hydrogen peroxide is an effective oxidising agent to kill bacteria and viruses.
For hospitality laundry that does not require sterilisation, hypochlorite is not necessary
(Bundesanzeiger Verlagsgesellschaft, 2002). If stubborn stains remain after washing, hypochlorite
may be added selectively at the rinse stage. Hydrogen peroxide may be substituted with ozone
generators that directly inject ozone into cool rinse water, to attain a concentration of 1.5 to 3.0 mg/l
O3 that kills bacteria and viruses at low temperature (US EPA, 1999). However, it is difficult to verify
O3 concentrations in the rinse water, and this technique is rarely applied in Europe.
Typically, approximately 10 g of detergent is used per kg laundry in a CBW (EC, 2007), with
auxiliary chemicals such as peracetic acid (PAA), hydrogen peroxide, chlorine, acid and fungicide.
EC (2007) refer to Sanoxy detergent that reduces water and total energy consumption… The chemical
and energy cost implications of lower wash temperatures are described under 'Economics', below.
Mechanical dewatering
Depending on the type of textile, the mass of water contained in the saturated fabric immediately after
washing can be two to three times the mass of the dry fabric. Thermal drying is an energy-intensive
and relatively time-consuming process that can use over 1 kWh per kg textiles. Considerable energy
savings can be achieved by maximising the use of quick and efficient mechanical dewatering (Figure
5.27), using either a dewatering press or a centrifuge. Theoretical energy consumption for a
commercial water extraction press with a load capacity of 50 kg is 0.035 kWh/kg textile (dry).
Maximising mechanical dewatering can also reduce water consumption by providing more water that
can be recycled into the wash process (see Figure 5.23). The effectiveness of mechanical dewatering
depends on: (i) pressing time; (ii) temperature of the rinse water; (iii) pressure; (iv) textile type.
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 11
Figure 5.27: The relative time and energy consumption required for mechanical dewatering and thermal
drying of textiles
Table 5.26 shows the sensitivity of residual moisture content to key parameters. Optimisation of the
drying process depends on the type of textile (e.g. maximum pressure constraints) and integration
with the wash process. Increasing the final rinse temperature from 25°C to 55°C can reduce residual
moisture content after pressing by 8 %, reducing drying energy requirements. This is an important
consideration when calculating the payback of waste heat recovery in incoming rinse water. Timing
should be set to achieve maximum drying within the time available between CBW batch deliveries.
Table 5.26: Residual moisture contents after press dewatering under varying conditions
Key variable Conditions Moisture
content
Time (cotton @ 51 bar) 90 seconds 53 %
180 seconds 43 %
Temperature (cotton @ 51 bar
and 90 seconds)
25 ºC 58 %
55 ºC 50 %
Pressure (cotton @ 50 ºC, 90
seconds)
28 bar 64 %
51 bar 53 %
Textile (@ 25 ºC, 51 bar) Cotton 58 %
Polyester/cotton (65/35) 41 %
Source: EC (2007).
Moisture contents following dewatering should not exceed 50 % for sheets and 52 % for towels to
ensure efficient drying in ironers and tumble-dryers, respectively (Carbon Trust, 2009). High moisture
contents may indicate a hydraulic leak or faulty pump in the press system that requires maintenance or
replacement, and can be identified through periodic weighing of laundry items.
Thermal drying
Following mechanical dewatering, towels and bath mats are dried in tumble driers, sheets, tablecloths
and napkins can be transferred directly to dewatering ironers, and garments are dried in finishers.
According to EC (2007), thermal drying options in large-scale laundries can be ordered according to
300%
100%
200%
0%
Mechanical dewatering
(0.14 kWh/kg)
Thermal drying
(0.42-1.40 kWh/kg)
Time
Time
MC (%)
Mechanical dewatering
(~0.05 kWh/kg)
Thermal drying
(~0.5 kWh/kg)
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 12
energy efficiency accordingly (kg steam required to remove one litre of water from textiles in
brackets):
old, poorly insulated ironer (2.5)
steam tumble-dryer (2.0)
new ironer (1.6)
garment finisher (1.0).
Optimisation of the thermal drying process should be based on maximisation of the lowest energy
processes available and applicable to the fabrics being laundered. Old ironers should be replaced by
efficient ones as soon as is economic (see Table 5.28), and use of tumble-dryersshould be minimised.
Over drying should be avoided by calculating drying times to ensure that the final moisture content
after the last drying process is as close as possible to the equilibrium moisture content of the textile
under standard atmospheric conditions (e.g. 6 – 8 % moisture for cotton).
Large steam tumble driers require approximately 0.5 kWh per kg textiles (Figure 5.24). Measures to
reduce energy consumption during drying are to recycle hot process air, rapid initial heating of the air
to minimise textile heat-up time, optimum drum loading to ensure textile movement and good heat
transfer, regular filter cleaning (once per hour), and optimisation of end-point textile moisture content
in relation to any further drying in the ironing or finishing phase and according to a target textile
moisture content in equilibrium with atmospheric conditions. End-of-cycle terminators based on
infrared detectors that leave 8 % moisture in towels are optimum and can be easily retrofitted. Tumble
driers with axial, rather than radial, flow have been demonstrated to use significantly less energy
(Carbon Trust, 2009).
Monthly inspections should be performed to check that heated air is not bypassing the rotating cage,
that the door seal is sound, that there are not any air leaks, and that melted plastic or other
contamination is cleared from the cage. Automatic lint screen cleaning systems can be installed to
maintain optimum operating efficiency.
For dryers and finishers, direct gas heating is more efficient than indirect heating via steam owing to
the energy losses through heat exchange and distribution for high-energy-state steam (Figure 5.28).
The ratio of useful heat energy output to energy input is typically 0.85 for direct gas-fired systems
compared with 0.7 for steam systems. Gas-fired tumble driers may be up to 30 % more efficient than
steam-heated driers (Carbon Trust, 2009). Nonetheless, steam provides a convenient centralised
source of heating for large laundries processing more than 500 kg textiles per day (EC, 2007). Steam
leakage can be minimised by installation of automated steam trap leakage detection systems, and
systems can also be optimised with respect to the entire laundry process (Figure 5.30), which can
reduce losses associated with steam generation and distribution by 90 %, to just 0.05 kWh/kg textiles
(Bobák et al., 2011).
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 13
Source: EC (2007).
Figure 5.28: Energy consumption for sheet fabric (ironer) and garments (finisher) based on direct gas
heating and indirect heating using steam
The majority of laundry from the hospitality sector is flatwork that will require ironing rather than
finishing (for garments). Where mechanical water extraction brings moisture content down to 50 % or
less, flatwork may be transferred directly to roller ironers, by-passing tumble driers. Large-scale
laundry dewatering irons apply pressure and heat to reduce residual moisture content in flatwork
textiles (e.g. bed linen and tablecloths), and are usually based on a two or three-roller design (Figure
5.29). The efficiency of large-scale dewatering ironers has improved considerably in recent years,
from consumption of 2.5 kg of steam per litre of water removed to 1.6 kg steam per litre of water
removed from the textiles (EC, 2007) – these values translate to specific drying energy requirements
of 0.6 and 0.4 kWh per kg textiles at 50 % moisture content, respectively. One feature of more
efficient ironers is heat-retaining hoods. The efficiency of roller ironers should be monitored, and the
machinery frequently inspected, to identify maintenance actions. For example, roller padding can
become worn, reducing contact pressure with the textiles and thus drying efficiency. Carbon Trust
(2009) recommend replacing the three layers of thin material traditionally used as roll padding with
two layers of stronger polyester needle-felt to improve ironing performance by up to 30 %, and reduce
energy consumption.
Source: Elaborated from carbon Trust (2009).
Figure 5.29: Schematic representation of rigid-chest three-roll ironer operation
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
Ironer Finisher Ironer Finisher
GAS STEAM
Specific
energ
y u
se (
kW
h/k
g textile
) Wash Tumble drying
Ironing Finisher
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 14
A derivative of the traditional rigid chest roller ironer shown in Figure 5.29 is now being
commercially marketed as a more energy-efficient alternative. Heating band ironers use a heated sheet
of high quality stainless steel to maintain pressure against the rollers, enabling a higher pressure of up
to 16 bars to be applied evenly across textiles (Kannegiesser, 2004). It is claimed that heating bands
also offer continuous heating over their entire surface, including the 'bridge' between rollers, and
suffer less from the wear-induced contact area reduction that occurs when the padding on
conventional roller systems is worn (Kannegiesser, 2004; EC, 2007). Table 5.27 presents operational
data for a modern heating-band ironer compared with a traditional rigid chest ironer. For the heating-
band ironer, a 90 % decrease in heated mass reduces start-up heating by 189 kWh per day, and the
reduced radiation losses from the smaller heated-surface area reduces heating by 120 kWh per day.
Table 5.27: An example of typical daily energy losses for a rigid-chest ironer and a heating-band ironer
of the same capacity, both heated by steam
Rigid chest ironer Heating band ironer
Specifications 1200 mm diameter, 3500 mm
width, 3 rolls, 6 tonnes heated
steel
1200 mm diameter, 3500 mm
width, 2 rolls, 0.62 tonnes heated
steel
Steel heating-up (daily) 211 kWh / day 22 kWh / day
Radiation 192 kWh / day 72 kWh / day
Escaping vapour 88 kWh / day 18 kWh / day
Total 491 kWh / day 112 kWh / day
Energy saving 379 kWh / day
NB Assumes one 8 hour per day shift and 1.83 kg steam = 1 kWh energy.
Source: EC (2007).
Energy consumption during ironing can be minimised by operating driers as close to rated capacity as
possible – this can be achieved by having a buffer stock of flatwork ready for ironing in case of any
interruptions in the line from previous processes. The most efficient loading systems are semi-
automated, comprising monorails to which the corners of textile sheets are clipped and that deposit
sheets onto the flatwork ironing surface automatically in response to a signal from a remote operative.
Automatic feeders should be adjusted to give edge to edge feeding in order to cover the width of the
iron, and roll-to-roll speed differentials set to give 50 mm stretch in 10 turns of an 800 mm diameter
roll (Carbon Trust, 2009). The roller speed should be adjusted to ensure that flatwork leaving the
ironer is dried to equilibrium moisture content in one pass, and that as much of the ironer surface as
possible is covered with flatwork at all times of operation.
In garment finishers, approximately one kg steam (0.55 kWh heat) is required per litre of water
evaporated from the textiles. The energy requirement of garment finishing is minimised by the
recirculation of 90 % of the air and optimisation of temperature distribution in the heating, finishing
and drying zones according to the textile density. The temperature of succeeding zones should
decrease to ensure rapid textile heat-up and maintain a constant textile temperature (EC, 2007).
Following ironing, textiles may be treated with chemicals to repel water and dirt. This is unnecessary,
especially for accommodation textiles that are frequently laundered, and should be avoided where
possible.
System optimisation
In relation to overall laundry system optimisation shown in Figure 5.30, the most important measures
to reduce heat losses from the steam system are given below.
Recovery of heat from the flue-gas to heat steam feeder water (point 1 in Figure 5.30).
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 15
Recovery of steam from the drying cycle, in an expander, to heat process water in the CBW
(point 2 in Figure 5.30). This can save around 10 % of entire laundry energy demand (Carbon
Trust, 2009).
Recovery of heat from waste water (ideally combined with water recovery) to heat incoming
process water to the CBW (point 3 in Figure 5.30). This can save 5 – 10 % of laundry heat
demand.
Regular inspection and maintenance of the distribution system to prevent leaks (point 4 in
Figure 5.30).
Appropriate insulation of pipes, CBW, dryers, finishers and irons to minimise heat losses (point
5 in Figure 5.30).
Source: Derived from Bobák et al. (2011).
Figure 5.30: Steam-heated laundry with optimised energy management
EC (2007) recommend corrugated pipe heat exchangers for their efficiency, robustness and tolerance
of soiled water, and specify the following check criteria to optimise the heat exchange process: (i) the
flow directions are connected in counter-current direction; (ii) there are turbulences in the liquids; (iii)
there is a large heat transfer surface; (iv) the mass flow and the temperature differences in both
directions are the same; (v) as much time as possible is provided for the heat exchange (i.e. for a
tunnel washer, throttle the rinse flow to almost the total cycle time).
The following sequence of checks may be useful to consider for optimisation of the entire laundry
process:
SYD = Steam dryer; IRO = Ironers; TUF = Tunnel finisher
1
2
3
4
5
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 16
1 Firstly, ensure that batch management is optimised to maximise CBW loading rates and that
the CBW is performing according to correctly specified programme parameters.
2
Based on typical batch characteristics, assess the potential to reduce wash temperature,
water use and chemical dosing. The potential for this may be high for typically lightly soiled
hotel laundry – it is worthwhile to experiment with different temperature and chemical
dosing settings. Aim for a rewash rate of 3 – 5 % (lower indicates over-washing, higher
indicates under-washing). Balance chemical costs against savings from reduced energy
consumption and textile wear (see 'Economics').
3
Minimise thermal drying requirements by maximising mechanical dewatering press times,
and optimise the efficiency of thermal drying by ensuring maximum loading rates in tumble-
dryers and flatwork ironers. Avoid over drying: control timing to achieve final moisture
contents of 8 %, in equilibrium with atmospheric conditions (install moisture sensors in
tumble driers).
4
Ensure that all economically viable water reuse opportunities are being exploited, especially
reuse of rinse water in earlier rinse of prewash compartments. Assess the economic viability
of installing a microfiltration system to reuse prewash water in the prewash or wash cycle.
Balance system modification costs against water, energy and chemical savings.
5
Ensure all economically viable heat recovery opportunities are being exploited. Heating
incoming final rinse water with waste water from the main wash is simple and cost effective,
but requires careful control: a higher rinse temperature reduces drying requirements, but
should not cause prewash temperature to exceed 40 ºC when reused (in order to avoid the
fixing of stains).
6
Inspect and test all equipment frequently, and perform regular maintenance, especially to
tumble driers (check filters, fans, ducts, moisture sensors) and roller-ironers (adjust speed
settings and check for padding wear).
7
Calculate when it would make financial sense to invest in new equipment, such as a new
CBW or heated-band ironer. More efficient drying equipment can pay back relatively
quickly: in particular mechanical dewaters and high-efficiency ironers. Assess the possibility
to use direct gas heating instead of steam heating.
Regular system maintenance is crucial to maintain optimal operating efficiency (Carbon Trust, 2009).
Equipment should be checked weekly, and in some cases daily, for problems. Regular maintenance
tasks include: (i) clearing wax from vacuum fans and ducts on the ironers; (ii) repairing holes in
grilles above the tumble dryer heater batteries to prevent lint blockage; (iii) adjusting hanger delivery
mechanisms at the tunnel finisher to give one garment per peg. Equipment tuning should be
performed every three months, including:
adjustment of 'wait' times in the hydro-extraction press programme to maximise press times;
adjustment of the roll-to-roll stretch on ironers to improve the heat transfer over the gap pieces
between the rolls;
adjustment of end-of-cycle terminators on tumble-dryers so that they leave 8 % moisture in
towels.
Realisation and maintenance of optimum efficiency requires monitoring and reporting of key
performance indicators for energy and water use efficiency: kWh energy and L water consumed per
kg laundry processed. These should be reported weekly or monthly in charts that enable easy tracking
of progress over time, and can be calculated from: (i) energy (electricity, gas, oil, steam) and water
bills; (ii) the number of pieces laundered. The average piece weight of mixed laundry items is around
0.5 kg (Carbon Trust, 2009), but this may vary for hospitality laundry and can be established for
individual laundries through weighing a sample of laundry items.
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 17
Applicability Optimised CBW laundry processes incorporating heat recovery and water recycling following
microfiltration are applicable to large hotels with over 500 rooms, and commercial laundries serving
the entire hospitality sector (accommodation, restaurants, bars, etc.).
Laundry from food preparation in restaurants and accommodation establishments is typically more
heavily soiled than laundry from rooms in accommodation, and requires more energy and water-
intensive laundering (see 'Environmental indicators' section above).
Economics Most best environmental management practice measures for large-scale laundries are based on water,
energy or chemical resource efficiency, and therefore have relatively short payback times when
implemented in new systems or following retrofitting. Table 5.28 summarises some important
economic factors for the referenced best practice measures.
Replacing older drying equipment such as irons with more efficient new models typically results in
large annual energy savings of tens of thousands of euro (Table 5.28). Thus, it can be financially
worthwhile to bring forward replacement of older equipment (e.g. after a major breakdown).
The installation of microfiltration equipment to filter prewash water for reuse offers an acceptable
payback time, in the region of two years, where water supply and disposal costs are at or above
EUR 2.00/m3.
Table 5.28: Important economic considerations associated with laundry best practice measures
Measure Economic considerations
CBW water and
energy
optimisation
At a water service (provision and treatment after disposal) price of EUR 2/m3 and
a gas price of EUR 14/GJ (EUR 3.89/MWh), optimisation of an older CBW
system processing 7 t/day of laundry can achieve annual cost savings of EUR
25 000 for water and EUR 40 000 for energy (P&G, 2011). These water and
energy savings equate to EUR 14 and EUR 24 per tonne of laundry processed,
respectively. This water saving cost would increase to EUR 21 per tonne of
laundry at a water service cost of EUR 3/m3. One company offers a CBW
optimisation service with payback periods as short as 12 months (P&G, 2011).
Laundry energy
optimisation
According Bobák et al. (2011), energy optimisation of the entire laundry process
can yield energy cost savings of EUR 73 per tonne laundry, of which EUR 35 per
tonne are attributable directly to the optimisation of drying processes.
Replacing an older ironer using 2.5 kg steam per litre of water removed with a
new ironer using 1.6 kg steam per litre of water removed will reduce annual
energy costs by EUR 27 000 for a laundry operating at 10 tonnes per day, five
days per week.
Water
filtration:
At a water service (provision and treatment after disposal) price of EUR 3/m3,
recycling of prewash water from a 12 t/day laundry CBW process through a
microfiltration system can save EUR 27 000 per year (EUR 9 per tonne laundry).
This compares with a capital and installation investment of EUR 40 000, thus
leading to a payback period of 17 months (EC, 2007). The payback time increases
to 21 months and 27 months at a water service price of EUR 2.50 and EUR 2.00
per m3, respectively.
Chemical
selection and
dosing
Chemical selection and dosing should be optimised with water, energy and textile
wear costs for different batch characteristics. Efficient dosing based on laundry
type and degree of soiling reduces costs.
Avoidance of more environmentally harmful chemicals can reduce costs, but
substitution with more environmentally friendly chemicals can increase costs.
Selection of ecolabelled detergents may increase detergent costs.
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 18
Textile wear represents a significant component of washing costs, and can account for half of washing
costs for relatively efficient operations using 6 L/kg laundry (left bars on Figure 5.31). Reducing
maximum wash temperature from 90 ºC to 50 ºC reduces textile wear by up to 50 %. Figure 5.31
highlights how the cost benefits of lower temperature washes are offset by chemical costs that can
increase by a factor of 1.8. The cost effect of temperature reduction is laundry-specific, and can be
positive or negative. For efficient laundries, a decisive factor is whether or not the laundry operators
bear the cost of textile wear. For in-house laundries on accommodation premises, reduced textile wear
costs can justify temperature reductions, whilst for outsourced laundries temperature reductions may
not be justified by cost savings that exclude textile wear.
NB: Water price 2 EUR/m3, steam price EUR 23.5/tonne (gas heating), chemical price ranging
from EUR 1 000 to EUR 1 800 per tonne, and textile price EUR 7 500 per tonne.
Source: Based on modified values from EC (2007).
Figure 5.31: Specific washing costs and textile wear for a 13-compartment CBW under high load rates
and 8-compartment CBW under low load rates, for higher and lower temperature washes
It is important to implement heat recovery after water optimisation, as the latter process can reduce
water consumption, and thus required heat-exchanger size, by approximately 30 %, reducing heat
exchanger installation cost by 15 % (Carbon Trust, 2009).
Driving force for implementation The main driving force for implementing optimised CBW processes is economics, as described above.
For large hotels, implementation of efficient laundry systems may also be driven by environmental
award schemes, or simply public relations benefits.
For commercial laundries, improved environmental performance, especially if recognised by third-
party certification, can improve business opportunities, especially with hospitality enterprises
operating green procurement policies.
0
50
100
150
200
250
90ºC 70ºC 85ºC 50ºC 50ºC
1241 kg/hr 222 kg/hr 346 kg/hr
EU
R /
to
nn
e la
un
dry
Textile wear
Water
Steam
Chemicals
Chemistry
optimised
~6 L/kg specific water
consumption
~20 L/kg specific
water consumption
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 19
Many tourist destinations, especially around the Mediterranean, suffer water stress during peak
season, and there is pressure to reduce water use associated with tourism. Economic driving forces
may be stronger in such destinations if authorities impose higher water charges.
References
Bundesanzeiger verlagsgesellschaft, Annex 55, Guidelines for the interpretation of Annex 55 to
the German Waste water Ordinance (requirements for waste water disposal from commercial
laundries), German Ministry of Environmental Protection, 13th March 2002, Bundesanzeiger
verlagsgesellschaft mbH, Köln.
Bobák, P., Pavlas, M., Kšenzuliak, V., Stehlík, P., Analysis of energy consumption in
professional laundry care process, Chemical Engineering Transactions, Vol. 21 (2010), pp.
109 – 114.
Bobák, P., Galcáková, A., Pavlas, M., Kšenzuliak, V., Computational approach for energy
intensity reduction of professional laundry care process, Chemical Engineering Transactions,
Vol. 25 (2011), pp. 147 – 152.
Carbon Trust, Energy saving opportunities in laundries: how to reduce the energy bill and the
carbon footprint of your laundry, Carbon Trust, 2009, London UK. CTV040.
DTC LTC, personal communication with DTC LTC laundry consultants UK, 16.08.2011.
EC, Regulation (EC) No 648/2004 of the European Parliament and of the Council of 31 March
2004 on detergents, OJEU, L104/1, Brussels.
EC, Training modules on the sustainability of industrial laundering processes, EC, 2007.
Available at: http://www.laundry-sustainability.eu/en/index.html
Girbau, TBS-50 batch washer, Girbau P00567 05/09, Girbau 2009, Barcelona
Henkel, Case study Persil Megaperls by Henkel AG and Co. KGAA Documentation. Case
Study undertaken within the PCF Pilot Project Germany, PCF Germany, 2009
Hohenstein Institute, Sonderveröffentlichung: zum 60 Geburtstag von Dr. med. Klaus-Dieter
Zastrow, Hohenstein Institute, 2010, Bönnigheim.
Hohenstein Institute, Dokumentation: Branchenspezifische Bewertung der Nachhaltigkeit des
gewerblichen / industriellen waschens und internationales benchmarking, Hohenstein Institute,
2011, Bönnigheim.
ITP, Environmental Management for Hotels, ITP, 2008, London UK. Jensen, Jensen washroom
systems, webpage accessed December 2011: http://www.jensen-group.com/products/jensen-
cleantech.html
Mab Hostelero, A 4 star laundry in the hotel Can Picafort Palace (Mallorca – Spain), Mab
Hostelero, 2004, Spain.
Nordic Ecolabelling, Nordic Ecolabelling of Laundry detergents for professional use, Version
2.0 15 December 2009 – 31 December 2012, Nordic Ecolabelling, 2009, Norway.
Nordic Ecolabelling, Nordic Ecolabelling of Textile Services, Version 2.1 15 December 2009 –
31 December 2012, Nordic Ecolabelling, 2010, Norway.
P&G, Control and modernisation of washing machines, Proctor and Gamble, 2011,
http://www.pgprof.info/Control-of-washing-machines.html
US EPA, Alternative Disinfectants and Oxidants: Guidance Manual (EPA 815-R-99-014), US
EPA, 1999, Washington D.C.
Wientjens B.V., AquaMiser specification sheet, Wientjens B.V., 2010, Milsbeek NL.
Best practice 5.5 – Optimised large scale or outsourced laundry operations
Best Environmental Management Practise in the Tourism Sector 20
IMPRINT This document is an extract from a Scientific and Policy report by the Joint Research Centre (JRC), the
European Commission’s science and knowledge service. The scientific output expressed does not imply a policy
position of the European Commission. Neither the European Commission nor any person acting on behalf of the
Commission is responsible for the use that might be made of this publication.
Contact information
European Commission - Joint Research Centre - Industrial Leadership and Circular Economy Unit
Address: Calle Inca Garcilaso 3, 41092, Seville, Spain
E-mail: [email protected]
Website: http://susproc.jrc.ec.europa.eu/activities/emas/
JRC Science Hub
https://ec.europa.eu/jrc
The reuse of the document is authorised, provided the source is acknowledged and the original meaning or
message of the texts are not distorted. The European Commission shall not be held liable for any consequences
stemming from the reuse.
How to cite this document
This best practice is an extract from the report Best Environmental Management Practice in the Tourism
Sector to be cited as: Styles D., Schönberger H., Galvez Martos J. L., Best Environmental Management
Practice in the Tourism Sector, EUR 26022 EN, doi:10.2788/33972.
All images © European Union 2017, except: cover image, stock.adobe.com